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    Run-off-road Accident Prediction Model for Two-lane Highway

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2008:;Volume ( 003 ):;issue: 001
    Author:
    Gao Hai-long
    ,
    Kan Wei-sheng
    ,
    Li Chang-cheng
    ,
    Pang Chang-le
    DOI: 10.1061/JHTRCQ.0000232
    Publisher: American Society of Civil Engineers
    Abstract: A brief literature review on run-off-road (ROR) accident prediction model was made. Road geometry, traffic volume, accidents, roadside hardware and features data of 31 rural two-lane highways (total 740 kilometers) were collected to develop ROR accident prediction models. Based on four types of statistical distributions, i.e. Poisson, Negative Binomial, Zero-Inflated Poisson and Zero-Inflated Negative Binomial, ROR accident frequency, fatality and injury models were built. Elasticity analysis was made to estimate the effect of influential factors such as roadway geometry and truck traffic on these models.
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      Run-off-road Accident Prediction Model for Two-lane Highway

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    http://yetl.yabesh.ir/yetl1/handle/yetl/70792
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    contributor authorGao Hai-long
    contributor authorKan Wei-sheng
    contributor authorLi Chang-cheng
    contributor authorPang Chang-le
    date accessioned2017-05-08T22:05:00Z
    date available2017-05-08T22:05:00Z
    date copyrightJuly 2008
    date issued2008
    identifier otherjhtrcq%2E0000232.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/70792
    description abstractA brief literature review on run-off-road (ROR) accident prediction model was made. Road geometry, traffic volume, accidents, roadside hardware and features data of 31 rural two-lane highways (total 740 kilometers) were collected to develop ROR accident prediction models. Based on four types of statistical distributions, i.e. Poisson, Negative Binomial, Zero-Inflated Poisson and Zero-Inflated Negative Binomial, ROR accident frequency, fatality and injury models were built. Elasticity analysis was made to estimate the effect of influential factors such as roadway geometry and truck traffic on these models.
    publisherAmerican Society of Civil Engineers
    titleRun-off-road Accident Prediction Model for Two-lane Highway
    typeJournal Paper
    journal volume3
    journal issue1
    journal titleJournal of Highway and Transportation Research and Development (English Edition)
    identifier doi10.1061/JHTRCQ.0000232
    treeJournal of Highway and Transportation Research and Development (English Edition):;2008:;Volume ( 003 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian